Responsibilities
- Build and deploy machine learning models for applications in document analysis, search functionality, question-and-answer systems, generative AI, and virtual agent technologies.
- Create and support backend systems in Python tailored for artificial intelligence workloads.
- Construct APIs that enable smooth integration between AI models and other services.
- Develop data processing pipelines and ETL frameworks at scale, supporting data-driven improvements in machine learning systems.
- Engage in code review, testing, and quality assurance practices to maintain high software standards.
- Diagnose and fix technical problems related to AI model performance, integrations, deployments, and backend infrastructure.
- Design algorithms that enhance the reliability of ML systems through automated testing and validation procedures.
- Record technical processes and share implementation details with team members and leadership.
- Maintain the confidentiality and compliance of healthcare-related data in accordance with HIPAA requirements.
